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ONNX had mismatch checker usage between cpp and python and it's later fixed by https://github.com/onnx/onnx/pull/4386. And since `torch.onnx.export` is using cpp checker for graph-level check with older version of ONNX,this improvement should be added. Also, this version bump enables #83186 Updated 12/5/2022: This PR includes ONNX 1.13.0 release (https://github.com/onnx/onnx/tree/rel-1.13.0) For [CVE-2022-25882](https://nvd.nist.gov/vuln/detail/CVE-2022-25882) Pull Request resolved: https://github.com/pytorch/pytorch/pull/90332 Approved by: https://github.com/kit1980, https://github.com/malfet |
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| .. | ||
| bin | ||
| tests | ||
| __init__.py | ||
| backend.py | ||
| backend_cpp_rep.py | ||
| backend_rep.py | ||
| error.py | ||
| frontend.py | ||
| helper.py | ||
| onnxifi.py | ||
| ONNXOpCoverage.md | ||
| README.md | ||
| test_onnxifi.py | ||
| workspace.py | ||
Caffe2 implementation of Open Neural Network Exchange (ONNX)
Usage
Installation
onnx-caffe2 is installed as a part of Caffe2. Please follow the instructions to install Caffe2.
Folder Structure
- ./: the main folder that all code lies under
- frontend.py: translate from caffe2 model to onnx model
- backend.py: execution engine that runs onnx on caffe2
- tests/: test files
Testing
onnx-caffe2 uses pytest as test driver. In order to run tests, first you need to install pytest:
pip install pytest-cov
After installing pytest, do
pytest
to run tests.
Testing coverage issues/status: https://github.com/caffe2/caffe2/blob/master/caffe2/python/onnx/ONNXOpCoverage.md
Development
During development it's convenient to install caffe2 in development mode:
cd /path/to/caffe2
pip install -e caffe2/